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題名 生成式AI與軟體開發者的相遇:賦能效果探討
The impact of generative AI on software development: empowering developers作者 江仲偉
Jiang, Zhong Wei貢獻者 周致遠
Chou, Chih-Yuan
江仲偉
Jiang, Zhong Wei關鍵詞 人工智慧
軟體開發工具
軟體開發者
軟體開發
賦能理論
生成式AI
Artificial intelligence
Development tools
Developers
Empowerment theory
Generative AI
Software development日期 2024 上傳時間 4-Sep-2024 14:05:33 (UTC+8) 摘要 本研究旨在探討生成式人工智慧（AI）工具—特別是 GitHub Copilot 和 ChatGPT—對於不同技能層級開發者的賦能（empowerment）影響。研究採用質性研究方法，以一開發者為主群體的網路論壇進行個案研究，採訪了來自三種技能層級的開發者們，深入分析其在使用生成式 AI 工具過程中的經驗、面臨的挑戰、以及在各個開發階段的決策過程。通過檢視心理賦能的個人內在、互動和行為層面，本研究深入分析了生成式 AI 工具如何通過其各種功能為開發者賦能。本研究可為生成式 AI 工具、開發者賦能、與軟體開發流程之間的動態關係提供寶貴的見解，研究結果預期能提供軟體產業參考以幫助相關開發流程之決策擬定，並能增進大眾對於AI如何驅動軟體工程之理解。
This research explores the impact of generative artificial intelligence (AI) tools, with a specific focus on GitHub Copilot and ChatGPT, on the empowerment of developers at varying skill levels. Using a qualitative approach, including a case study within an online forum for developers, this study interviews developers with diverse skill levels for gaining insight on their experiences, challenges, and decision-making processes across different stages. By examining the intrapersonal, interactional, and behavioral dimensions of psychological empowerment, this study offers valuable insights into how generative AI tools shape developer empowerment through the tools’ various functions. The findings are expected to inform industry practices, guide tool development, and further our understanding of the evolving landscape of AI-driven software development.參考文獻 Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. 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國立政治大學
資訊管理學系
111356034資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111356034 資料類型 thesis dc.contributor.advisor 周致遠 zh_TW dc.contributor.advisor Chou, Chih-Yuan en_US dc.contributor.author (Authors) 江仲偉 zh_TW dc.contributor.author (Authors) Jiang, Zhong Wei en_US dc.creator (作者) 江仲偉 zh_TW dc.creator (作者) Jiang, Zhong Wei en_US dc.date (日期) 2024 en_US dc.date.accessioned 4-Sep-2024 14:05:33 (UTC+8) - dc.date.available 4-Sep-2024 14:05:33 (UTC+8) - dc.date.issued (上傳時間) 4-Sep-2024 14:05:33 (UTC+8) - dc.identifier (Other Identifiers) G0111356034 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153159 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 111356034 zh_TW dc.description.abstract (摘要) 本研究旨在探討生成式人工智慧（AI）工具—特別是 GitHub Copilot 和 ChatGPT—對於不同技能層級開發者的賦能（empowerment）影響。研究採用質性研究方法，以一開發者為主群體的網路論壇進行個案研究，採訪了來自三種技能層級的開發者們，深入分析其在使用生成式 AI 工具過程中的經驗、面臨的挑戰、以及在各個開發階段的決策過程。通過檢視心理賦能的個人內在、互動和行為層面，本研究深入分析了生成式 AI 工具如何通過其各種功能為開發者賦能。本研究可為生成式 AI 工具、開發者賦能、與軟體開發流程之間的動態關係提供寶貴的見解，研究結果預期能提供軟體產業參考以幫助相關開發流程之決策擬定，並能增進大眾對於AI如何驅動軟體工程之理解。 zh_TW dc.description.abstract (摘要) This research explores the impact of generative artificial intelligence (AI) tools, with a specific focus on GitHub Copilot and ChatGPT, on the empowerment of developers at varying skill levels. Using a qualitative approach, including a case study within an online forum for developers, this study interviews developers with diverse skill levels for gaining insight on their experiences, challenges, and decision-making processes across different stages. By examining the intrapersonal, interactional, and behavioral dimensions of psychological empowerment, this study offers valuable insights into how generative AI tools shape developer empowerment through the tools’ various functions. The findings are expected to inform industry practices, guide tool development, and further our understanding of the evolving landscape of AI-driven software development. en_US dc.description.tableofcontents CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 6 2.1 Generative AI tools and software development 6 2.2 The empowerment theory 10 2.3 Generative AIs’ impact on developers of various skill levels 16 CHAPTER 3: RESEARCH METHODOLOGY 20 3.1 Research approach 20 3.2 Case descriptions 22 3.3 Data collection 23 3.4 Data analysis 25 CHAPTER 4: ANALYSIS AND FINDINGS 29 4.1 Autocompletions of repetitive functions 30 4.2 Provision of sample codes 31 4.2.1 Effects on intrapersonal aspects 31 4.2.2 Effects on interactional aspects 33 4.3 Debugging of programs 35 4.3.1 Effects on intrapersonal aspects 35 4.3.2 Effects on interactional aspects 37 4.4 Summarization of information 38 4.4.1 Effects on intrapersonal aspects 38 4.4.2 Effects on intrapersonal aspects 39 4.5 Know-how as a user context 40 CHAPTER 5: DISCUSSIONS 44 5.1 The influence of generative AI tools in software development 44 5.2 Parts that generative AI cannot enhance 45 5.3 Theoretical implications 46 5.4 Practical implications 47 CHAPTER 6: CONCLUSIONS AND LIMITATIONS 49 REFERENCES 50 zh_TW dc.format.extent 1188207 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111356034 en_US dc.subject (關鍵詞) 人工智慧 zh_TW dc.subject (關鍵詞) 軟體開發工具 zh_TW dc.subject (關鍵詞) 軟體開發者 zh_TW dc.subject (關鍵詞) 軟體開發 zh_TW dc.subject (關鍵詞) 賦能理論 zh_TW dc.subject (關鍵詞) 生成式AI zh_TW dc.subject (關鍵詞) Artificial intelligence en_US dc.subject (關鍵詞) Development tools en_US dc.subject (關鍵詞) Developers en_US dc.subject (關鍵詞) Empowerment theory en_US dc.subject (關鍵詞) Generative AI en_US dc.subject (關鍵詞) Software development en_US dc.title (題名) 生成式AI與軟體開發者的相遇:賦能效果探討 zh_TW dc.title (題名) The impact of generative AI on software development: empowering developers en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Adiguzel, T., Kaya, M. 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